Prof. Dr.-Ing. habil. Alexander Löser conducts research and teaching in the areas of Data Science and Text-based Information Systems at Beuth University of Applied Sciences Berlin since September 2013.
He is also a founding member of the Data Science Research Center of our university and expert with the BMBF Platform Learning Systems (Lernende Systeme). In 2019 he was executive board member of the Einstein Center Digital Future.
Previous stations are HP Labs Bristol, IBM Almaden Research Center, the research division of the SAP AG and the Technische Universität Berlin. He also worked as independent consultant with eBay/mobile.de, Zalando, MunichRe, SpringerNature and as indepdendent expert with the European Union, among others.
Alexander published over 70 refereed scientific papers in prestigious international conferences and journals, including CIKM, TheWebConference, ACL, COLING, Elsevier Information Systems or ISWC. He gave more than 90 invited talks and holds 3 granted patents. His research has been incorporated into commercial products, such as IBM Lotus Notes and SAP HANA. Alexander serves on the editorial boards and program committees of top international journals or conferences in the areas of data science and computational linguistics. In 2019 he recieved the best paper award at IEEE BigComp 2019.
His team contributed to or lead more than ten large national and european projects, including 'MIA', ExCELL, Smart Data Web, MACSS, PLASS, Smart-MD, Servicemeister, EDUTELLA, SWAP, OKKAM, SCAPE, ROBUST, DOPA or FashionBrain.
Alexander recieved his Master from HTW Berlin in 2002, his Ph.D. from TU Berlin in 2005 at the DFG Graduate School of Distributed Information Systems (GKVI) and his Habilitation (Lehrbefugnis für das Fach Angewandte Informatik) from TU Berlin in 2013.
His current research interests include: Neural Text Mining, explaining transformer networks, clinical natural language processing and in-database text mining.